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1 | data | 4 | |
---|---|---|---|
1 | base | 3 | |
1 | system | 5 | |
1 | fall | 6 | |
1 | semeter | 2 | |
2 | data | 1 | |
2 | base | 2 | |
2 | structure | 3 | |
2 | network | 4 | |
2 | algorithm | 5 |
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Gzu 👻 18:56:04:Ipopt-3.12.9 $brew tap homebrew/science | |
Updating Homebrew... | |
To restore the stashed changes to /usr/local/Homebrew/Library/Taps/homebrew/homebrew-science run: | |
'cd /usr/local/Homebrew/Library/Taps/homebrew/homebrew-science && git stash pop' | |
==> Auto-updated Homebrew! | |
Updated 2 taps (homebrew/science, homebrew/core). | |
==> New Formulae | |
ballerina libbitcoin-consensus shogun | |
coreos-ct qtkeychain | |
==> Updated Formulae |
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''' | |
# Environment | |
# 1. HW: Intel i7-4770 RAM 32G, NVIDIA GeForce GTX 960 RAM 4G | |
# 2. SW: Windows10 x64, Pytion 3.5.2, TensorFlow-gpu 1.0.1 | |
# | |
# Reference | |
# 1. TensorFlow tutorials : https://www.tensorflow.org/tutorials/seq2seq | |
# 2. RNN Encoder–Decoder : https://arxiv.org/pdf/1406.1078.pdf | |
# 3. Seq2Seq Learning : https://arxiv.org/pdf/1409.3215.pdf | |
# 4. Practical seq2seq : http://suriyadeepan.github.io/2016-12-31-practical-seq2seq |
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